Linking big: the continuing promise of evolutionary synthesis

Brian Sidlauskas, Ganeshkumar Ganapathy, Einat Hazkani-Covo, Kristin P. Jenkins, Hilmar Lapp, Lauren W. McCall, Samantha Price, Ryan Scherle, Paula A. Spaeth, David M. Kidd

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Synthetic science promises an unparalleled ability to find new meaning in old data, extant results, or previously unconnected methods and concepts, but pursuing synthesis can be a difficult and risky endeavor. Our experience as biologists, informaticians, and educators at the National Evolutionary Synthesis Center has affirmed that synthesis can yield major insights, but also revealed that technological hurdles, prevailing academic culture, and general confusion about the nature of synthesis can hamper its progress. By presenting our view of what synthesis is, why it will continue to drive progress in evolutionary biology, and how to remove barriers to its progress, we provide a map to a future in which all scientists can engage productively in synthetic research.
    Original languageEnglish
    Pages (from-to)871-880
    JournalEvolution
    Volume64
    Issue number4
    DOIs
    Publication statusPublished - Apr 2009

    Bibliographical note

    Note: This work was supported by the National Evolutionary Synthesis Center [NSF #EF-0423641].

    Keywords

    • data sharing
    • education
    • informatics
    • interdisciplinary
    • ontology
    • scientific culture
    • visualization
    • Computer science and informatics

    Fingerprint

    Dive into the research topics of 'Linking big: the continuing promise of evolutionary synthesis'. Together they form a unique fingerprint.

    Cite this